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We investigate motor and load speed feedback schemes by utilizing the singular perturbation method.
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Recently, many scholars proposed several kinds of biological dynamic systems [1, 3 6] by utilizing the theory of singular system, which studies the dynamic system with capture factors.
Reduced-order state space models suitable for process control studies are constructed by utilizing the methods of orthogonal collocation and singular perturbation.
The weight matrix of DDRNN-CMTPAF is constructed by utilizing the unitary signal space matrix obtained from singular value decomposition for the receiving signal matrix.
Non-strict and strict bilinear matrix inequality (BMI -based roBMI -basedverobusthesis schemes are probservery utilizing the one-synthesisschemescondition, the concept of quareatic inner boundedness, the generalized Lyaprovidedeory for singular systems, and the L2 gain reduction.
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Grafarend and Awange (2003) presented the Procrustes algorithm which utilized the singular value decomposition technique.
It utilizes the singular value decomposition of the normalized predictors, and allows bigger deviation from zero to the regression parameters of the orthonormalized predictors which are known to explain the original predictor variability most, i.e., have biggest singular values.
This technique utilizes the singular value decomposition (SVD), allowing regularization on the spectral Jacobian matrix to be applied without altering the underlying spectral prior information.
The system poles are identified by employing the least-squares complex frequency-domain (LSCF) estimator, following which the mode shapes are evaluated by utilizing singular value decomposition (SVD) technique for PSDT matrix.
The outer loop is designed for stability and robust performance by utilizing results from structured singular values (μ-synthesis).
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